Ai

The discourse around AI and jobs tends toward two extremes: either AI will replace everyone, or it’s all hype. The reality, as always, is more nuanced — and now there is data to show exactly what it looks like. This analysis visualises the work done by JoshKale (originally inspired by Andrej Karpathy), who used an LLM to score every single occupation in the Bureau of Labor Statistics Occupational Outlook Handbook — all 342 of them — on a 0–10 AI exposure scale. The result is the most comprehensive public dataset I have seen on this topic. ...

My pen drive looked completely empty. A file browser showed nothing. But the storage info said 11 GB was in use. The drive is labeled PHOTOS. On it was the only recording we have of my grandparents’ 50th wedding anniversary celebration. My grandmother has since passed away. That video is the only footage we have of her. I had lost all hope we would ever get it back. The files were still there. A virus had hidden them. And Claude Code helped me find them. ...

Most people treat AI like a search engine — type a question, read the answer. But there is a bottleneck in that loop: typing itself. The average person types around 40 words per minute. They speak at over 130. That gap is where a lot of time goes. Wispr Flow fixes this. It is a voice dictation tool that works everywhere on your Mac — including Claude, ChatGPT, Cursor, and any other AI tool you use. Hold a key, talk, release. Your words appear as text instantly. ...

My entire blog pipeline runs through GitHub Actions. Push to main, it deploys to staging on GitHub Pages, I review it, then approve the production deploy to my DigitalOcean droplet. The system works great at a desk. But what about writing from a phone? What if I want to draft a post on the couch, fix a typo I noticed on the train, or ship a quick update without opening a laptop? ...